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Data Architect

  • Data Architect job type Posted on: Oct 14, 2026
  • Data Architect experience level Openkyber
  • Data Architect employment type Atlanta, Georgia
  • Data Architect employment type Onsite
  • Data Architect salary Full-time

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Job Title :

Data Architect

Job Type :

Full-Time

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

The ideal candidate must have 10+ years of experience in Data Architecture, Information Architecture, or Enterprise Architecture , along with 8+ years of hands-on experience in Data Architecture, Data Engineering, Advanced Database Design, Data Modeling, and Data Warehouse/Data Mart implementation . The candidate should also have 5+ years of experience with modern data platforms such as Snowflake, Databricks, MongoDB, and cloud ecosystems including AWS, Azure, or Google Cloud Platform . Required expertise includes data security, privacy, and regulatory compliance for sensitive data , designing and implementing data quality initiatives and related tooling , and supporting large-scale modernization or digital transformation programs across multiple domains and stakeholders . Strong stakeholder collaboration and the ability to work across business and technology teams are essential.

For applications and inquiries,

Jobcon Logo Position Details

Posted:

Oct 14, 2026

Reference Number:

89342-38381

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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The ideal candidate must have 10+ years of experience in Data Architecture, Information Architecture, or Enterprise Architecture , along with 8+ years of hands-on experience in Data Architecture, Data Engineering, Advanced Database Design, Data Modeling, and Data Warehouse/Data Mart implementation . The candidate should also have 5+ years of experience with modern data platforms such as Snowflake, Databricks, MongoDB, and cloud ecosystems including AWS, Azure, or Google Cloud Platform . Required expertise includes data security, privacy, and regulatory compliance for sensitive data , designing and implementing data quality initiatives and related tooling , and supporting large-scale modernization or digital transformation programs across multiple domains and stakeholders . Strong stakeholder collaboration and the ability to work across business and technology teams are essential.

For applications and inquiries,

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